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Jochen Einbeck
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Journal Articles
- 2024
- [j10]Yingjuan Zhang, Jochen Einbeck:
Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models. Algorithms 17(8): 358 (2024) - 2022
- [j9]Clare L. Tolley, Neil Watson, Andrew Heed, Jochen Einbeck, Suzanne Medows, Linda Wood, Layla Campbell, Sarah P. Slight:
The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study. BMC Medical Informatics Decis. Mak. 22(1): 86 (2022) - 2020
- [j8]Jochen Einbeck, Zakiah I. Kalantan, Uwe Kruger:
Practical Considerations on Nonparametric Methods for Estimating Intrinsic Dimensions of Nonlinear Data Structures. Int. J. Pattern Recognit. Artif. Intell. 34(9): 2058010:1-2058010:35 (2020) - 2019
- [j7]Jochen Einbeck, John Hinde, Salvatore Ingrassia, Tsung-I Lin, Paul D. McNicholas:
Editorial for the 4th Special Issue on advances in mixture models. Comput. Stat. Data Anal. 132: 143-144 (2019) - [j6]Zakiah I. Kalantan, Jochen Einbeck:
Quantile-Based Estimation of the Finite Cauchy Mixture Model. Symmetry 11(9): 1186 (2019) - 2013
- [j5]James Taylor, Jochen Einbeck:
Challenging the curse of dimensionality in multivariate local linear regression. Comput. Stat. 28(3): 955-976 (2013) - 2012
- [j4]Simos G. Meintanis, Jochen Einbeck:
Goodness-of-fit tests in semi-linear models. Stat. Comput. 22(4): 967-979 (2012) - 2010
- [j3]Jochen Einbeck, Ludger Evers, Benedict Powell:
Data Compression and Regression through Local Principal Curves and Surfaces. Int. J. Neural Syst. 20(3): 177-192 (2010) - 2005
- [j2]Jochen Einbeck, Gerhard Tutz, Ludger Evers:
Local principal curves. Stat. Comput. 15(4): 301-313 (2005) - 2003
- [j1]Jochen Einbeck:
Multivariate Local Fitting with General Basis Functions. Comput. Stat. 18(2): 185-203 (2003)
Conference and Workshop Papers
- 2023
- [c4]Tathagata Basu, Matthias C. M. Troffaes, Jochen Einbeck:
A Robust Bayesian Approach for Causal Inference Problems. ECSQARU 2023: 359-371 - 2020
- [c3]Tathagata Basu, Matthias C. M. Troffaes, Jochen Einbeck:
Binary Credal Classification Under Sparsity Constraints. IPMU (2) 2020: 82-95 - 2008
- [c2]Jochen Einbeck, Ludger Evers, Kirsty Hinchliff:
Data Compression and Regression Based on Local Principal Curves. GfKl 2008: 701-712 - 2004
- [c1]Jochen Einbeck, Gerhard Tutz, Ludger Evers:
Exploring Multivariate Data Structures with Local Principal Curves. GfKl 2004: 256-263
Coauthor Index
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